PROGRESS OF THE MILKIT PROJECT IN TANZANIA (July – November 2012)

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PROGRESS OF THE MILKIT PROJECT IN TANZANIA (July – November 2012)

Transcript of PROGRESS OF THE MILKIT PROJECT IN TANZANIA (July – November 2012)

Page 1: PROGRESS OF THE MILKIT PROJECT IN TANZANIA (July – November 2012)

PROGRESS OF THE MILKIT PROJECT IN TANZANIA

(July – November 2012)

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Component 2. Productivity Enhancement – Tanzania

2a. Strategies for implementing local feed-related innovations emerging from stakeholder platforms with the potential to enhance dairy incomes.

Training on the FEAST tool – in Pemba Characterize feeding systems with FEAST assessments Plan site-specific interventions with platforms Compile inventory of feed agents/types/sources around

sites

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FEAST training and DVC Assessment in Pemba (MilkIT 7th – 14th July 2012)

Kisiwani Chake Chake and Mkoani

FEAST training in Pemba

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Component 2. Productivity Enhancement – Tanzania

2b. Methods for enhancing diffusion of local feed-related innovations among dairy smallholders with the potential for income benefits through productivity increases.

Test strategies to engage local decision makers Identify workable interventions at project sites – TechFit Innovation platforms develop a process to change feeding

practices

2c. Strategic lesson learning on appropriate dairy feeding strategies and technologies.

Design and implement baseline study Document current feed-related development activities

(successes + failures) Develop framework to assess likelihood of technology uptake

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Technical activities planned Forage Germplasm Establishment:

A base towards conducting trials and seed distribution to farmers during the project.

Few forage spp. already proposed and agreed, namely;

Varieties of Napier grass (Pennisetum purpureum), Brachiaria spp and Guinea grass (Panicum maximum)

SARI- Arusha and TALIRI- Tanga are the proposed sites where multiplication plots will be established under different ecological conditions.

Productivity Enhancement

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Component 2. Productivity Enhancement – Tanzania

2b. Methods for enhancing diffusion of local feed-related innovations among dairy smallholders with the potential for income benefits through productivity increases.

Test strategies to engage local decision makers Identify workable interventions at project sites – TechFit Innovation platforms develop a process to change feeding

practices

2c. Strategic lesson learning on appropriate dairy feeding strategies and technologies.

Design and implement baseline study Document current feed-related development activities

(successes + failures) Develop framework to assess likelihood of technology uptake

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Baseline/HH Survey (More-MilkiT, MilkIT and SFFF Nov. - Dec. 2012)

Magamba, Lushoto Teams taking off in the morning

Detailed Site Selection in Tanzania

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Process of Detailed Site Selection Sites for interventions in Tanzania DVC so far identified

up to district levelMorogoro Region (Kilosa and Mvomero districts) Tanga Region (Handeni and Lushoto districts) Based on mixture of spatial map overlays, stakeholder

consultation, scoping visits and R&D partner preferences Spatial mapping mainly relied on socio-economic data

Human population & poverty, market access and consumption

Livestock density and Livestock production systems

Kilosa and Handeni districts represent pre-commercial rural production-to-rural consumption

Mvomero and Lushoto stand for more commercial rural production-to-urban consumption

Detailed Site Selection in Tanzania

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Detailed (intervention) site selection Objective

to identify specific sites where specific interventions will be carried out

Checklist and participatory scoping procedures will be applied to identify sites for implementation based criteria, e.g. Target groups, Impact indicators, Ease of assistance and access to markets/

inputs/services Potential for collective action, and Availability of related development activities

Detailed Site Selection in Tanzania

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Detailed village selection in Kilosa and Mvomero, Morogoro Region; Handeni and Lushoto, Tanga Region (More-MilkiT and MilkIT September 2012)

In Lushoto .

Detailed Site Selection in Tanzania

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Detailed Village SelectionProcess:

25 Villages surveyed by visiting District Offices GPS-coordinates and village details gathered

Some key findings: Poor organization of data/information.Most of the improved cattle were obtained

through projects (e.g., Heifer International and SECAP, Soil Erosion Control Agroforestry Project)

Fred to expand

Detailed Site Selection in Tanzania

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Component 3. Knowledge Sharing – Tanzania

3a. Mechanisms for sharing knowledge at local and regional levels.

Identify key existing knowledge pathways Identify communication barriers along value chain Establish steering group

3b. Mechanisms for sharing knowledge across project countries and among global R4D projects.

Annual planning meeting of project teamProduce quarterly technical reports Write annual report Lessons synthesized, assessed and applied

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Innovation PlatformsInnovation Platforms Meeting:

Stakeholders’ analysis in Tanga and Morogoro to be done by partners

Tanga Dairy Platform already in placeTanga model will be the basis of establishing

other platforms in Morogoro.The IP activities start from November in Tanga

Dairy Platform Meeting in Tanga Julius to expand on meeting November 2012

Knowledge Sharing

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Approaches: Innovation Platforms (IPs) and site selection Alan (28.08.2012):

“Chronology in MilkIt would be to form IP’s, agree on feed interventions among IP members and then select sites for those interventions based on agreement with IP members.”

Actual process: Site selection by Regional IP Village IPs

FEAST training + assessments already planned for January’13

Knowledge Sharing

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Sampling Villages in a District Reducing 150 – 200 villages in a District to 35 MoreMilkIT research villages (20 – 25 per district)

represent the majority of the cattle population and cattle-keeping population in the area The initial selection of 35 villages was based on local

authority official figures for villages where there were ‘some’ cattle

Upon reduction from 35 to 25 villages a few ‘very remote’ villages were dropped and villages with little/no cattle as per ground-truthing activity

Among these 25 villages, there are villages with few cattle keepers, but these keep large herds, so in terms of cattle population, it's not negligible

Knowledge Sharing

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Tanzania

Morogoro Tanga

KilosaMvomero Handeni

Lushoto

a b c

Country

Region

District

Village

MilkIT feed activities in village types a and c. Overarching IP at Regional level and local feed IP’s at District level.

Ward

a b c a b c a b c

Knowledge Sharing

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Considerations concerning village selection Cattle numbers + number of cattle-keeping

households Improved cattle + number of households with

improved cattle Market channels:

Rural to ruralRural to urban

Production systemsIntensive/semi-intensiveExtensive

Accessibility

Knowledge Sharing

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Characteristics of selected villages District Village Cattle

population (no. hds)

HHs with cattle (no.)

Marketing channels

Farming system

Altitude Access-ibility

Tanga

Lushoto Kwang’ wenda

308-Improved

102 Rural-urban

Intensive High Good

Magamba 1330-Improved

330 Rural- urban

Intensive High Good

Handeni Sindeni 4996-Local 86 Rural-rural Extensive Low Good

Kabuku 121-Local + 60-Improved

10-Local + 32-Improved

Rural-rural Extensive + Intensive

Low Good

MorogoroMvomero

Manyinga 298-Improved

42 Rural- urban

Extensive Low/high Good

Kambala 8,614-Local + 354-Improved

562-local + 76-Improved

Rural-urban

Extensive + Intensive

Low Good

Kilosa Twatwatwa

60,317-Local 191 Rural-rural Extensive Low Good

Mbwade 3745-Local 47 Rural-rural Extensive Low Good

Knowledge Sharing

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X

Mvomero (left), Kilosa (right)

Morogoro Region

Detailed Site Selection in Tanzania

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Sindeni

Lushoto Handeni

Tanga Region

Detailed Site Selection in Tanzania